IDEAS home Printed from https://ideas.repec.org/p/ags/gmcc15/211495.html
   My bibliography  Save this paper

Identity preservation: Lessons from a Case Study Addressing GM and Non-GM Maize Supply Chains

Author

Listed:
  • Trinidade, Carlos
  • Quedas, M. de Fatima
  • Ponte, Joao

Abstract

Identity preservation (IP) refers to a system of production, handling and marketing practices that maintains the integrity of and purity of agricultural commodities. Products segregation plays a key role in IP, but an IP system is more demanding, namely due to testing requirements. Labelling regulation for GM containing or derived food and feed in EU, as well as some food manufacturers’ prerequisite of GM-free raw materials, prompted new developments of IP systems that are now part of the modus operandi of major supply chains. A research on the Portuguese maize bread supply chain, a minor maize supply chain in value but large due to the myriad of actors it involves, was conducted in order to understand if and how GM labelling regulation is accomplished. Direct interviews to several stakeholders along the maize bread supply chain evidenced a large heterogeneity in awareness and performance of GM-labeling rules. But results also reflected heterogeneity in awareness and performance regarding other traits, including traits envisaged by Codex Standards or traits associated to traditional maize bread, as it is the case of flint type varieties and, moreover, the IP of maize landraces, traditionally grown for bread making and that are still grown by some farmers. Altogether these results encouraged a comprehensive discussion of implementation of IP systems and suggest that isolating non-GM maize IP and its costs from the comprehensive IP system of each supply chain might be misleading.

Suggested Citation

  • Trinidade, Carlos & Quedas, M. de Fatima & Ponte, Joao, 2015. "Identity preservation: Lessons from a Case Study Addressing GM and Non-GM Maize Supply Chains," GMCC-15: Seventh GMCC, November 17-20, 2015, Amsterdam, the Netherlands 211495, International Conference on Coexistence between Genetically Modified (GM) and non-GM based Agricultural Supply Chains (GMCC).
  • Handle: RePEc:ags:gmcc15:211495
    DOI: 10.22004/ag.econ.211495
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/211495/files/Trindade_%20Quedas_%20Ponte%20-%20Identity%20preservation%20-%20a%20Case%20Study%20Addressing%20GM%20and%20Non-GM%20Maize%20Supply%20Chains%20GMCC-15.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.211495?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Frank M. Bass, 1969. "A New Product Growth for Model Consumer Durables," Management Science, INFORMS, vol. 15(5), pages 215-227, January.
    2. Huffman, Wallace, 2004. "Production, Identity Preservation and Labeling in a Market Place with Genetically Modified (GM) and Non-GM Foods," Staff General Research Papers Archive 12335, Iowa State University, Department of Economics.
    3. Muth, Mary K. & Mancini, Dominic & Viator, Catherine, 2003. "The Role Of Identity-Preservation Systems In Food-Manufacturer Responses To Bioengineered Foods," Journal of Food Distribution Research, Food Distribution Research Society, vol. 34(01), pages 1-7, March.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Oscar Gutiérrez & Francisco Ruiz-Aliseda, 2011. "Real options with unknown-date events," Annals of Finance, Springer, vol. 7(2), pages 171-198, May.
    2. Shari, Babajide Epe & Dioha, Michael O. & Abraham-Dukuma, Magnus C. & Sobanke, Victor O. & Emodi, Nnaemeka V., 2022. "Clean cooking energy transition in Nigeria: Policy implications for Developing countries," Journal of Policy Modeling, Elsevier, vol. 44(2), pages 319-343.
    3. Daniela Balutel & Christopher Henry & Jorge Vásquez & Marcel Voia, 2022. "Bitcoin adoption and beliefs in Canada," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 55(4), pages 1729-1761, November.
    4. Byrka, Katarzyna & Jȩdrzejewski, Arkadiusz & Sznajd-Weron, Katarzyna & Weron, Rafał, 2016. "Difficulty is critical: The importance of social factors in modeling diffusion of green products and practices," Renewable and Sustainable Energy Reviews, Elsevier, vol. 62(C), pages 723-735.
    5. Cambier, Adrien & Chardy, Matthieu & Figueiredo, Rosa & Ouorou, Adam & Poss, Michael, 2022. "Optimizing subscriber migrations for a telecommunication operator in uncertain context," European Journal of Operational Research, Elsevier, vol. 298(1), pages 308-321.
    6. Baburin, Vyacheslav & Zemtsov, Stepan, 2014. "Diffussion of ICT-products and "five Russias"," MPRA Paper 68926, University Library of Munich, Germany, revised 10 May 2014.
    7. Tiruwork B. Tibebu & Eric Hittinger & Qing Miao & Eric Williams, 2024. "Adoption Model Choice Affects the Optimal Subsidy for Residential Solar," Energies, MDPI, vol. 17(3), pages 1-19, February.
    8. Simon P. Anderson & André de Palma, 2012. "Competition for attention in the Information (overload) Age," RAND Journal of Economics, RAND Corporation, vol. 43(1), pages 1-25, March.
    9. Gaurav, Kumar & Ghosh, Sayantari & Bhattacharya, Saumik & Singh, Yatindra Nath, 2019. "Ensuring the Spread of Referral Marketing Campaigns: A Quantitative Treatment," SocArXiv 6spnr, Center for Open Science.
    10. Thomas L. Magnanti, 2021. "Optimization: From Its Inception," Management Science, INFORMS, vol. 67(9), pages 5349-5363, September.
    11. Michael Braun & André Bonfrer, 2011. "Scalable Inference of Customer Similarities from Interactions Data Using Dirichlet Processes," Marketing Science, INFORMS, vol. 30(3), pages 513-531, 05-06.
    12. Van, Tien Linh Cao & Barthelmes, Lukas & Gnann, Till & Speth, Daniel & Kagerbauer, Martin, 2021. "Addressing the gaps in market diffusion modeling of electrical vehicles: A case study from Germany for the integration of environmental policy measures," Working Papers "Sustainability and Innovation" S05/2021, Fraunhofer Institute for Systems and Innovation Research (ISI).
    13. Yutaka Hamaoka, 2009. "Spatial Diffusion of Innovation: A Spatial Panel Analysis of Electronic Toll Collecting Transponders in Japan," Keio/Kyoto Joint Global COE Discussion Paper Series 2009-017, Keio/Kyoto Joint Global COE Program.
    14. Pyo, Tae-Hyung & Tamrakar, Chanchal & Lee, Jae Young & Choi, Yun Seob, 2023. "Is social capital always “Capital”?: Measuring and leveraging social capital in online user communities for in-group diffusion," Journal of Business Research, Elsevier, vol. 158(C).
    15. Steffen S. Bettin, 2020. "Electricity infrastructure and innovation in the next phase of energy transition—amendments to the technology innovation system framework," Review of Evolutionary Political Economy, Springer, vol. 1(3), pages 371-395, November.
    16. Palm, A., 2020. "Early adopters and their motives: Differences between earlier and later adopters of residential solar photovoltaics," Renewable and Sustainable Energy Reviews, Elsevier, vol. 133(C).
    17. Ma, Peng, 2021. "Optimal generic and brand advertising efforts in a decentralized supply chain considering customer surplus," Journal of Retailing and Consumer Services, Elsevier, vol. 60(C).
    18. Sergio Currarini & Carmen Marchiori & Alessandro Tavoni, 2016. "Network Economics and the Environment: Insights and Perspectives," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 65(1), pages 159-189, September.
    19. Andrea Di Liddo & Luigi De Cesare, 2006. "Optimal marketing decision in a duopoly: a stochastic approach," Quaderni DSEMS 07-2006, Dipartimento di Scienze Economiche, Matematiche e Statistiche, Universita' di Foggia.
    20. Klingler, Anna-Lena & Luthander, Rasmus, 2018. "Market diffusion of residential PV and battery systems driven by self-consumption: A comparison of Sweden and Germany," Working Papers "Sustainability and Innovation" S18/2018, Fraunhofer Institute for Systems and Innovation Research (ISI).

    More about this item

    Keywords

    Crop Production/Industries; Food Consumption/Nutrition/Food Safety;

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ags:gmcc15:211495. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/iaaeeea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.